{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7c8599e6-60b9-4d33-b450-0bbb1a158a0c",
   "metadata": {},
   "source": [
    "# <span style=\"color: #2664EA;\">目标柱形图</span>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38cd4a76-85bd-493c-ad4c-891621c139b2",
   "metadata": {},
   "source": [
    "#### 数来自筛选好的商品订单数量统计数量，如下：\r\n",
    "**ERP订单数据 - 商品类别订单数量统计**\r\n",
    "=====================================\r\n",
    "- 裙子：120 个订单\r\n",
    "- 毛衣：107 个订单\r\n",
    "- 卫衣：127 个订单\r\n",
    "- 裤子：134 个订单\r\n",
    "- 夹克：126 个订单\r\n",
    "- 外套：123 个订单\r\n",
    "- T恤：134 个订单\r\n",
    "- 衬衫：129 个订单\r\n",
    "=====================================\r\n",
    "- 总计：1000 个订单\r\n",
    "- 原始数据总订单数：1000 条数据总订单数：1000 条"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "349fb4eb-23a2-4e97-96b3-88ae1f702123",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# 数据准备\n",
    "categories = [\"裙子\", \"毛衣\", \"卫衣\", \"裤子\", \"夹克\", \"外套\", \"T恤\", \"衬衫\"]\n",
    "actual_sales = [120, 107, 127, 134, 126, 123, 134, 129]\n",
    "target_sales = [120, 90, 120, 150, 100, 80, 150, 110]\n",
    "\n",
    "# 配色与背景（）\n",
    "bg_color = \"#0a0a23\"\n",
    "actual_color = \"#0066cc\"\n",
    "target_color = \"black\"  # 目标销量为白色边框柱\n",
    "\n",
    "# 创建画布\n",
    "plt.figure(figsize=(12, 8), facecolor=bg_color)\n",
    "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\", \"Microsoft YaHei\", \"Arial Unicode MS\"]\n",
    "plt.rcParams[\"axes.unicode_minus\"] = False  # 解决负号显示问题\n",
    "\n",
    "# 定义不同的宽度：目标柱更宽，实际柱稍窄\n",
    "target_width = 0.5   # 目标边框柱宽度\n",
    "actual_width = 0.35  # 实际填充柱宽度\n",
    "x = np.arange(len(categories))\n",
    "\n",
    "# 先绘制目标销量的白色边框柱（更宽），避免被遮挡\n",
    "bar_target = plt.bar(\n",
    "    x, target_sales, target_width,  # 居中绘制，宽度更大\n",
    "    color=\"none\", edgecolor=target_color, linewidth=2,\n",
    "    label=\"目标销量\", alpha=1\n",
    ")\n",
    "\n",
    "# 再绘制实际销量的蓝色填充柱（稍窄，居中叠加）\n",
    "bar_actual = plt.bar(\n",
    "    x, actual_sales, actual_width,  # 居中绘制，宽度更小\n",
    "    color=actual_color, edgecolor=target_color, linewidth=1,\n",
    "    label=\"实际销量\", alpha=1\n",
    ")\n",
    "\n",
    "# 添加数值标签（实际销量柱顶部标注，更醒目）\n",
    "for bar in bar_actual:\n",
    "    height = bar.get_height()\n",
    "    plt.text(\n",
    "        bar.get_x() + bar.get_width()/2, \n",
    "        height + 2, \n",
    "        f\"{height}\",\n",
    "        ha=\"center\", va=\"bottom\", \n",
    "        color=\"black\", fontsize=10, fontweight=\"bold\"\n",
    "    )\n",
    "\n",
    "# 为目标销量添加数值标签（可选，标注在柱形上方）\n",
    "for bar in bar_target:\n",
    "    height = bar.get_height()\n",
    "    plt.text(\n",
    "        bar.get_x() + bar.get_width()/2, \n",
    "        height + 2, \n",
    "        f\"目标：{height}\",\n",
    "        ha=\"center\", va=\"bottom\", \n",
    "        color=\"lightgray\", fontsize=8,\n",
    "        style=\"italic\"  # 斜体区分实际/目标标签\n",
    "    )\n",
    "\n",
    "# 设置刻度和标签\n",
    "plt.xticks(x, categories, color=\"white\", fontsize=10, rotation=15, ha=\"right\")  # 轻微旋转避免重叠\n",
    "plt.ylabel(\"订单数量\", color=\"white\", fontsize=12, fontweight=\"bold\")\n",
    "plt.tick_params(axis=\"y\", colors=\"white\")\n",
    "\n",
    "# 添加标题和说明\n",
    "plt.title(\"商品类别订单完成情况\", color=\"white\", fontsize=18, pad=20, fontweight=\"bold\")\n",
    "plt.figtext(\n",
    "    0.5, 0.01, \n",
    "    \"注：数据来源于ERP订单文件 | 白色边框为目标销量，蓝色填充为实际销量\",\n",
    "    ha=\"center\", color=\"lightgray\", fontsize=10\n",
    ")\n",
    "\n",
    "# 显示图例（调整样式更美观）\n",
    "plt.legend(\n",
    "    loc=\"upper right\", frameon=True, facecolor=\"#333333\", \n",
    "    labelcolor=\"white\", edgecolor=\"white\"\n",
    ")\n",
    "\n",
    "# 调整布局避免标签裁剪\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a113fcda-5831-4c2b-8704-5c7b69d0a023",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
